Evidence map›Paper›PMID 39717032›Full record

ArticleFrontiers in public health2024

Association between phenotypic age and mortality risk in individuals with obesity: a retrospective cohort study.

Yingxuan Huang, Apei Zhou, Yisen Huang, Yubin Wang, Xiaobo Liu, Xiaoqiang Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yingxuan Huang *Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Apei Zhou *Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Yisen HuangDepartment of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Yubin WangDepartment of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Xiaobo LiuMcConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
Xiaoqiang LiuDepartment of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigates the association between phenotypic age acceleration (PAA) and all-cause and cause-specific mortality in obese individuals. Methods: Data were drawn from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018, including 9,925 obese adults (BMI ≥ 30 kg/m Results: During a median follow-up of 10.6 years, 1,537 deaths were recorded, including 419 from cardiovascular disease and 357 from cancer. PAA was significantly associated with all-cause mortality (HR = 1.84, 95% CI: 1.64-2.06), cardiovascular mortality (HR = 1.86, 95% CI: 1.50-2.31), and cancer mortality (HR = 1.47, 95% CI: 1.17-1.85). These associations remained significant after adjusting for multiple variables, and sensitivity analyses confirmed the robustness of the results. Conclusion: PAA is an independent predictor of all-cause, cardiovascular, and cancer mortality in obese individuals. This study highlights the importance of PAA in mortality risk assessment and health management in the obese population.

Indexed as

Cardiovascular DiseasesNeoplasmsNutrition SurveysObesityAdultAgedAge FactorsBody Mass IndexCause of DeathFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPhenotypeProportional Hazards Modelsall-cause mortalitycancercardiovascular diseaseNHANESobesityphenotypic age acceleration

Identifiers

PMID39717032
PMCPMC11663737

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.